Correlation Between Qiming Information and Bank of China

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Can any of the company-specific risk be diversified away by investing in both Qiming Information and Bank of China at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Qiming Information and Bank of China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qiming Information Technology and Bank of China, you can compare the effects of market volatilities on Qiming Information and Bank of China and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Qiming Information with a short position of Bank of China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qiming Information and Bank of China.

Diversification Opportunities for Qiming Information and Bank of China

0.23
  Correlation Coefficient

Modest diversification

The 3 months correlation between Qiming and Bank is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Qiming Information Technology and Bank of China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of China and Qiming Information is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Qiming Information Technology are associated (or correlated) with Bank of China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of China has no effect on the direction of Qiming Information i.e., Qiming Information and Bank of China go up and down completely randomly.

Pair Corralation between Qiming Information and Bank of China

Assuming the 90 days trading horizon Qiming Information is expected to generate 14.84 times less return on investment than Bank of China. In addition to that, Qiming Information is 3.96 times more volatile than Bank of China. It trades about 0.0 of its total potential returns per unit of risk. Bank of China is currently generating about 0.14 per unit of volatility. If you would invest  500.00  in Bank of China on September 28, 2024 and sell it today you would earn a total of  50.00  from holding Bank of China or generate 10.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Qiming Information Technology  vs.  Bank of China

 Performance 
       Timeline  
Qiming Information 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Weak
Over the last 90 days Qiming Information Technology has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Qiming Information is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Bank of China 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Bank of China are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Bank of China may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Qiming Information and Bank of China Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Qiming Information and Bank of China

The main advantage of trading using opposite Qiming Information and Bank of China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qiming Information position performs unexpectedly, Bank of China can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank of China will offset losses from the drop in Bank of China's long position.
The idea behind Qiming Information Technology and Bank of China pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
Check out your portfolio center.
Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.

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